{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quandl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quandl uses a very straightforward API to make its free and premium data available. See [documentation](https://www.quandl.com/tools/api) for more details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-29T19:40:31.487432Z",
     "start_time": "2018-10-29T19:40:30.051540Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import quandl\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')\n",
    "%matplotlib inline\n",
    "oil = quandl.get('EIA/PET_RWTC_D').squeeze()\n",
    "oil.plot(lw=2, title='WTI Crude Oil Price');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
